A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
Michael J. Black, Yaser Yacoob, Allan D. Jepson, D...
The estimation and detection of occlusion boundaries and moving bars are important and challenging problems in image sequence analysis. Here, we model such motion features as line...
Multi-frame motion estimation is a novel technique to improve the video coding efficiency. However, the computational complexity in motion search is usually a bottleneck in the vi...
In this paper we propose a method for extending the standard motion estimation algorithms used in video compression algorithms, to incorporate motion parameters that describe non-...
Mark R. Pickering, Michael R. Frater, John F. Arno...
In this paper we present a new technique to extract layers in a video sequence. To this end, we assume that the observed scene is composed of several transparent layers, that their...